Producing full-color image using CFA image

ABSTRACT

A method of forming a full-color output image using a color filter array image having a plurality of color channels and a panchromatic channel, comprising capturing a color filter array image having a plurality of color channels and a panchromatic channel, wherein the panchromatic channel is captured using a different exposure time than at least one of the color channels; computing an interpolated color image and an interpolated panchromatic image from the color filter array image; computing a chrominance image from the interpolated color image; and forming the full color output image using the interpolated panchromatic image and the chrominance image.

CROSS REFERENCE TO RELATED APPLICATIONS

Reference is made to commonly assigned U.S. application Ser. No.12/401,002, filed Mar. 10, 2009 entitled CFA IMAGE WITH SYNTHETICPANCHROMATIC IMAGE by Kumar et al., the disclosure of which isincorporated herein by reference.

FIELD OF THE INVENTION

The present invention relates to color filter array images having colorchannels and a panchromatic channel and more particularly to providingan improved full-resolution color image with reduced motion blur.

BACKGROUND OF THE INVENTION

An electronic imaging system depends on a lens system to form an imageon an electronic image sensor to create an electronic representation ofa visual image. Examples of such electronic image sensors include chargecoupled device (CCD) image sensors and active pixel sensor (APS) devices(APS devices are often referred to as CMOS sensors because of theability to fabricate them in a Complementary Metal Oxide Semiconductorprocess). A sensor comprises a two-dimensional array of individualpicture element sensors, or pixels. Each pixel is typically providedwith either a red, green, or blue filter, as described by Bayer incommonly assigned U.S. Pat. No. 3,971,065 issued Jul. 20, 1976, so thata color image can be produced. Regardless of electronic technologyemployed, e.g., CCD or CMOS, the pixel acts as a bucket in whichphotoelectrons are accumulated in direct proportion to amount of lightthat strikes the pixel during the capture of an image by the electronicimaging system.

Not all of the light that enters the front optical element of anelectronic imaging system strikes a pixel. Much of the light is lostwhen passing through the optical path of the electronic imaging system.Typically, about 5% of the light is lost due to lens reflections andhaze and about 60% is lost because of the color filter array. Moreover,some of the light strikes areas of the pixel that are not lightsensitive. To gather the amount of light that is needed to make acorrect exposure, the electronic imaging sensor gathers light for aninterval of time called the exposure time. Based on brightnessmeasurements of the scene to be imaged, an automatic exposure control istypically employed to determine a suitable exposure time that will yieldan image with effective brightness. The dimmer the scene, the longer theamount of time the electronic imaging system needs to gather light tomake a correct exposure. It is well known, however, that longerexposures can result in blurry images. This blur can be the result ofobjects moving in a scene. It can also be produced when the imagecapture device is moving relative to the scene during capture (e.g., dueto camera shake).

One method to reduce blur is to shorten the exposure time. However, thismethod under-exposes the electronic image sensor during image capture sodark images are generated. An analog or digital gain can be applied tothe image signal to brighten the dark images, but those skilled in theart will recognize that this will result in noisy images.

Another method to reduce blur is to shorten the exposure time andpreserve more of the light that passes through the optical path anddirect it to the pixels of the electronic image sensor. This method canproduce images with reduced blur and acceptable noise levels. However,the current industry trend in electronic imaging systems is to makeimaging systems smaller and less expensive. High-grade optical elementswith large apertures, which can gather more light and preserve morelight passing through them, are therefore not practicable.

Another method to reduce blur is to shorten the exposure time andsupplement the available light with a photographic flash. A photographicflash produces a strong light flux that is sustained for a fraction of asecond and the exposure time is set to encompass the flash time. Theexposure time can be set to a significantly shorter interval thanwithout a flash since the photographic flash provides strongillumination. Therefore, the blur during the exposure is reduced.However, flash photography is only practical if the distance between theflash and the object is relatively small. Additionally, a flash addsextra cost and weight to an image capture device.

U.S. Pat. No. 6,441,848 issued Aug. 27, 2002 to Tull describes a digitalcamera with an electronic image sensor that removes object motion blurby monitoring the rate at which electrons are collected by each pixel.If the rate at which light strikes a pixel varies, then the brightnessof the image that the pixel is viewing is assumed to be changing. When acircuit built into the sensor array detects that the image brightness ischanging, the amount of charge collected is preserved and the time atwhich brightness change was detected is recorded. Each pixel value whereexposure was stopped is adjusted to the proper value by linearlyextrapolating the pixel value so that the pixel value corresponds to thedynamic range of the entire image. A disadvantage of this approach isthat the extrapolated pixel values of an object that is already inmotion when the exposure begins are highly uncertain. The imagebrightness, as seen by the sensor, never has a constant value and,therefore, the uncertainty in the extrapolated pixel values results inan image with motion artifacts. Another disadvantage is that it usesspecialized hardware so that it cannot be used with the conventionalelectronic image sensors that are used in current commercial cameras.

Another method to reduce blur is to capture two images, one with a shortexposure time, and one with a long exposure time. The short exposuretime is selected so as to generate an image that is noisy, butrelatively free of motion blur. The long exposure time is selected so asto generate an image that has little noise, but that can havesignificant motion blur. Image processing algorithms are used to combinethe two captures into one final output image. Such approaches aredescribed in U.S. Pat. No. 7,239,342, U.S. Patent ApplicationPublication No. 2006/0017837, U.S. Patent Application Publication2006/0187308 and U.S. Patent Application Publication 2007/0223831. Thedrawbacks of these approaches include a requirement for additionalbuffer memory to store multiple images, additional complexity to processmultiple images, and difficulty resolving object motion blur.

Another method to reduce blur is to shorten the exposure time andpreserve more light passing through the color filter array. Forsilicon-based image sensors, the pixel components themselves are broadlysensitive to visible light, permitting unfiltered pixels to be suitablefor capturing a monochrome image. For capturing color images, atwo-dimensional pattern of filters is typically fabricated on thepattern of pixels, with different filter materials used to makeindividual pixels sensitive to only a portion of the visible lightspectrum. An example of such a pattern of filters is the well-knownBayer color filter array pattern, as described in U.S. Pat. No.3,971,065. The Bayer color filter array has advantages for obtainingfull color images under typical conditions; however, this solution hasbeen found to have its drawbacks. Although filters are needed to providenarrow-band spectral response, any filtering of the incident light tendsto reduce the amount of light that reaches each pixel, thereby reducingthe effective light sensitivity of each pixel and reducing pixelresponse speed.

As solutions for improving image capture under varying light conditionsand for improving overall sensitivity of the imaging sensor,modifications to the familiar Bayer pattern have been disclosed. Forexample, commonly assigned U.S. Patent Application Publication No.2007/0046807 entitled “Capturing Images Under Varying LightingConditions” by Hamilton et al. and U.S. Patent Application PublicationNo. 2007/0024931 entitled “Image Sensor with Improved Light Sensitivity”by Compton et al. both describe alternative sensor arrangements thatcombine color filters with panchromatic filter elements, spatiallyinterleaved in some manner. With this type of solution, some portion ofthe image sensor detects color; the other panchromatic portion isoptimized to detect light spanning the visible band for improved dynamicrange and sensitivity. These solutions thus provide a pattern of pixels,some pixels with color filters (providing a narrow-band spectralresponse) and some without (unfiltered “panchromatic” pixels or pixelsfiltered to provide a broad-band spectral response). This solution isnot sufficient, however, to allow high quality images without motionblur to be captured under low-light conditions because the color pixelsare still subject to motion blur.

Another method to reduce blur and capture images in low-light scenarios,known in the fields of astrophotography and remote sensing, is tocapture two images: a panchromatic image with high spatial resolutionand a multi-spectral image with low spatial resolution. The images arefused to generate a multi-spectral image with high spatial resolution.Such approaches are described in U.S. Pat. No. 7,340,099, U.S. Pat. No.6,011,875 and U.S. Pat. No. 6,097,835. The drawbacks of these approachesinclude a requirement for additional buffer memory to store multipleimages, and difficulty resolving object motion blur.

Another method that can be used to reduce motion blur is to use an imagestabilization system having moveable lens system or special imagerpositioning hardware. Such systems are designed to keep the image in astable position on the sensor. However, these systems have thedisadvantage that they are complex and costly. Additionally, they do notaddress the case where objects in the scene are moving at differentvelocities.

Thus, there exists a need for producing an improved color image havingreduced motion blur from color filter array image having color andpanchromatic pixels without the use of a photographic flash, withoutincreasing image noise, and without significant additional cost,complexity or memory requirements.

SUMMARY OF THE INVENTION

In accordance with the present invention, there is provided a method offorming a full-color output image using a color filter array imagehaving a plurality of color channels and a panchromatic channel,comprising one or more processor(s) for providing the following:

a) capturing a color filter array image using a color filter array imagesensor, the color filter array image having a plurality of colorchannels and a panchromatic channel, wherein the panchromatic channel iscaptured using a different exposure time than at least one of the colorchannels;

b) computing an interpolated color image and an interpolatedpanchromatic image from the color filter array image;

c) computing a chrominance image from the interpolated color image; and

d) forming the full color output image using the interpolatedpanchromatic image and the chrominance image.

An advantage of the present invention is that improved full-resolutioncolor images with reduced motion blur can be produced without having touse a photographic flash or long exposure times to properly expose asingle image.

A further advantage of the present invention is that full-resolutioncolor images with reduced image capture device-induced blur can beproduced without the need for a costly image stabilization system havingmoveable lens system or special imager positioning hardware.

A further advantage of the present invention is that full-resolutioncolor images with reduced blur can be produced without increased buffermemory requirements for storing multiple images.

This and other aspects, objects, features, and advantages of the presentinvention will be more clearly understood and appreciated from a reviewof the following detailed description of the preferred embodiments andappended claims, and by reference to the accompanying drawings.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a block diagram of a digital camera for implementing thepresent invention;

FIG. 2 is a block diagram of a preferred embodiment of the presentinvention;

FIG. 3 is a view of a color filter array pattern that can be used forthe present invention;

FIG. 4 is a schematic diagram showing how pixels in adjacent rows can bebinned together, sharing the same floating diffusion component;

FIG. 5 is a view of the pixel readouts from a portion of the imagesensor from one possible binning strategy;

FIG. 6 provides representative spectral quantum efficiency curves forred, green, and blue pixels, as well as a wider spectrum panchromaticquantum efficiency, all multiplied by the transmission characteristicsof an infrared cut filter; and

FIG. 7 is a block diagram showing step 214 of FIG. 2 in more detail.

DETAILED DESCRIPTION OF THE INVENTION

In the following description, a preferred embodiment of the presentinvention will be described in terms that would ordinarily beimplemented as a software program. Those skilled in the art will readilyrecognize that the equivalent of such software can also be constructedin hardware. Because image manipulation algorithms and systems are wellknown, the present description will be directed in particular toalgorithms and systems forming part of, or cooperating more directlywith, the system and method in accordance with the present invention.Other aspects of such algorithms and systems, and hardware or softwarefor producing and otherwise processing the image signals involvedtherewith, not specifically shown or described herein, can be selectedfrom such systems, algorithms, components and elements known in the art.Given the system as described according to the invention in thefollowing materials, software not specifically shown, suggested ordescribed herein that is useful for implementation of the invention isconventional and within the ordinary skill in such arts.

Still further, as used herein, the computer program for performing themethod of the present invention can be stored in a computer readablestorage medium, which can include, for example; magnetic storage mediasuch as a magnetic disk (such as a hard drive or a floppy disk) ormagnetic tape; optical storage media such as an optical disc, opticaltape, or machine readable bar code; solid state electronic storagedevices such as random access memory (RAM), or read only memory (ROM);or any other physical device or medium employed to store a computerprogram.

Because digital cameras employing imaging devices and related circuitryfor signal capture and correction and for exposure control are wellknown, the present description will be directed in particular toelements forming part of, or cooperating more directly with, the methodand apparatus in accordance with the present invention. Elements notspecifically shown or described herein are selected from those known inthe art. Certain aspects of the embodiments to be described are providedin software. Given the system as shown and described according to theinvention in the following materials, software not specifically shown,described or suggested herein that is useful for implementation of theinvention is conventional and within the ordinary skill in such arts.

Turning now to FIG. 1, a block diagram of an image capture deviceembodying the present invention is shown. In this example, the imagecapture device is shown as a digital camera. However, although a digitalcamera will now be explained, the present invention is clearlyapplicable to other types of image capture devices as well. In thedisclosed camera, light from the subject scene 10 is input to an imagingstage 11, where the light is focused by lens 12 to form an image on asolid state color filter array image sensor 20. Color filter array imagesensor 20 converts the incident light to an electrical signal for eachpicture element (pixel). The color filter array image sensor 20 of thepreferred embodiment is a charge coupled device (CCD) type or an activepixel sensor (APS) type. (APS devices are often referred to as CMOSsensors because of the ability to fabricate them in a ComplementaryMetal Oxide Semiconductor process.) Other types of image sensors havingtwo-dimensional array of pixels can also be used provided that theyemploy the patterns of the present invention. The color filter arrayimage sensor 20 for use in the present invention comprises atwo-dimensional array of color and panchromatic pixels as will becomeclear later in this specification after FIG. 1 is described.

The amount of light reaching the color filter array image sensor 20 isregulated by an iris block 14 that varies the aperture and a neutraldensity (ND) filter block 13 that includes one or more ND filtersinterposed in the optical path. Also regulating the overall light levelis the time that a shutter 18 is open. An exposure controller 40responds to the amount of light available in the scene as metered by abrightness sensor block 16 and controls all three of these regulatingfunctions.

This description of a particular camera configuration will be familiarto one skilled in the art, and it will be obvious that many variationsand additional features are present. For example, an autofocus systemcan be added, or the lens can be detachable and interchangeable. It willbe understood that the present invention can be applied to any type ofdigital camera, where similar functionality is provided by alternativecomponents. For example, the digital camera can be a relatively simplepoint-and-shoot digital camera, where the shutter 18 is a relativelysimple movable blade shutter, or the like, instead of the morecomplicated focal plane arrangement. The present invention can also bepracticed using imaging components included in non-camera devices suchas mobile phones and automotive vehicles.

The analog signal from the color filter array image sensor 20 isprocessed by analog signal processor 22 and applied to analog-to-digital(A/D) converter 24. A timing generator 26 produces various clockingsignals to select rows and pixels and synchronizes the operation ofanalog signal processor 22 and A/D converter 24. An image sensor stage28 includes the color filter array image sensor 20, the analog signalprocessor 22, the A/D converter 24, and the timing generator 26. Thecomponents of image sensor stage 28 can be separately fabricatedintegrated circuits, or they can be fabricated as a single integratedcircuit as is commonly done with CMOS image sensors. The resultingstream of digital pixel values from the A/D converter 24 is stored in adigital signal processor (DSP) memory 32 associated with a digitalsignal processor (DSP) 36.

The DSP 36 is one of three processors or controllers in this embodiment,in addition to a system controller 50 and an exposure controller 40.Although this partitioning of camera functional control among multiplecontrollers and processors is typical, these controllers or processorscan be combined in various ways without affecting the functionaloperation of the camera and the application of the present invention.These controllers or processors can include one or more digital signalprocessor devices, microcontrollers, programmable logic devices, orother digital logic circuits. Although a combination of such controllersor processors has been described, it should be apparent that onecontroller or processor can be designated to perform all of the neededfunctions. All of these variations can perform the same function andfall within the scope of this invention, and the term “processing stage”will be used as needed to encompass all of this functionality within onephrase, for example, as in processing stage 38 in FIG. 1.

In the illustrated embodiment, DSP 36 manipulates the digital image datain the DSP memory 32 according to a software program permanently storedin a program memory 54 and copied to DSP memory 32 for execution duringimage capture. DSP 36 executes the software necessary for practicingimage processing shown in FIG. 1. DSP memory 32 can be any type ofrandom access memory, such as SDRAM. The bus 30 including a pathway foraddress and data signals connects DSP 36 to its related DSP memory 32,A/D converter 24 and other related devices.

System controller 50 controls the overall operation of the camera basedon a software program stored in program memory 54, which can includeFlash EEPROM or other nonvolatile memory. This memory can also be usedto store image sensor calibration data, user setting selections andother data which must be preserved when the camera is turned off. Systemcontroller 50 controls the sequence of image capture by directingexposure controller 40 to operate the lens 12, ND filter block 13, irisblock 14, and shutter 18 as previously described, directing the timinggenerator 26 to operate the color filter array image sensor 20 andassociated elements, and directing DSP 36 to process the captured imagedata. After an image is captured and processed, the final image filestored in DSP memory 32 is transferred to a host computer via hostinterface 57, stored on a removable memory card 64 or other storagedevice, and displayed for the user on an image display 88.

A system controller bus 52 includes a pathway for address, data andcontrol signals, and connects system controller 50 to DSP 36, programmemory 54, a system memory 56, host interface 57, a memory cardinterface 60 and other related devices. Host interface 57 provides ahigh speed connection to a personal computer (PC) or other host computerfor transfer of image data for display, storage, manipulation orprinting. This interface can be an IEEE1394 or USB2.0 serial interfaceor any other suitable digital interface. Memory card 64 is typically aCompact Flash (CF) card inserted into memory card socket 62 andconnected to the system controller 50 via memory card interface 60.Other types of storage that can be utilized include without limitationPC-Cards, MultiMedia Cards (MMC), or Secure Digital (SD) cards.

Processed images are copied to a display buffer in system memory 56 andcontinuously read out via video encoder 80 to produce a video signal.This signal is output directly from the camera for display on anexternal monitor, or processed by display controller 82 and presented onimage display 88. This display is typically an active matrix colorliquid crystal display (LCD), although other types of displays are usedas well.

A user interface 68, including all or any combination of a viewfinderdisplay 70, an exposure display 72, a status display 76, the imagedisplay 88, and user inputs 74, is controlled by a combination ofsoftware programs executed on exposure controller 40 and systemcontroller 50. User inputs 74 typically include some combination ofbuttons, rocker switches, joysticks, rotary dials or touchscreens.Exposure controller 40 operates light metering, exposure mode, autofocusand other exposure functions. The system controller 50 manages agraphical user interface (GUI) presented on one or more of the displays,e.g., on image display 88. The GUI typically includes menus for makingvarious option selections and review modes for examining capturedimages.

Exposure controller 40 accepts user inputs selecting exposure mode, lensaperture, exposure time (shutter speed), and exposure index or ISO speedrating and directs the lens 12 and shutter 18 accordingly for subsequentcaptures. The brightness sensor block 16 is employed to measure thebrightness of the scene and provide an exposure meter function for theuser to refer to when manually setting the ISO speed rating, apertureand shutter speed. In this case, as the user changes one or moresettings, the light meter indicator presented on viewfinder display 70tells the user to what degree the image will be over or underexposed. Inan automatic exposure mode, the user changes one setting and theexposure controller 40 automatically alters another setting to maintaincorrect exposure, e.g., for a given ISO speed rating when the userreduces the lens aperture, the exposure controller 40 automaticallyincreases the exposure time to maintain the same overall exposure.

The ISO speed rating is an important attribute of a digital stillcamera. The exposure time, the lens aperture, the lens transmittance,the level and spectral distribution of the scene illumination, and thescene reflectance determine the exposure level of a digital stillcamera. When an image from a digital still camera is obtained using aninsufficient exposure, proper tone reproduction can generally bemaintained by increasing the electronic or digital gain, but theresulting image will often contain an unacceptable amount of noise. Asthe exposure is increased, the gain is decreased, and therefore theimage noise can normally be reduced to an acceptable level. If theexposure is increased excessively, the resulting signal in bright areasof the image can exceed the maximum signal level capacity of the imagesensor or camera signal processing. This can cause image highlights tobe clipped to form a uniformly bright area, or to “bloom” intosurrounding areas of the image. Therefore, it is important to guide theuser in setting proper exposures. An ISO speed rating is intended toserve as such a guide. In order to be easily understood byphotographers, the ISO speed rating for a digital still camera shoulddirectly relate to the ISO speed rating for photographic film cameras.For example, if a digital still camera has an ISO speed rating of ISO200, then the same exposure time and aperture should be appropriate foran ISO 200 rated film/process system.

The ISO speed ratings are intended to harmonize with film ISO speedratings. However, there are differences between electronic andfilm-based imaging systems that preclude exact equivalency. Digitalstill cameras can include variable gain, and can provide digitalprocessing after the image data has been captured, enabling tonereproduction to be achieved over a range of camera exposures. It istherefore possible for digital still cameras to have a range of speedratings. This range is defined as the ISO speed latitude. To preventconfusion, a single value is designated as the inherent ISO speedrating, with the ISO speed latitude upper and lower limits indicatingthe speed range, that is, a range including effective speed ratings thatdiffer from the inherent ISO speed rating. With this in mind, theinherent ISO speed is a numerical value calculated from the exposureprovided at the focal plane of a digital still camera to producespecified camera output signal characteristics. The inherent speed istypically the exposure index value that produces peak image quality fora given camera system for normal scenes, where the exposure index is anumerical value that is inversely proportional to the exposure providedto the image sensor.

The foregoing description of a digital camera will be familiar to oneskilled in the art. It will be obvious that there are many variations ofthis embodiment that are possible and are selected to reduce the cost,add features or improve the performance of the camera. The followingdescription will disclose in detail the operation of this camera forcapturing images according to the present invention. Although thisdescription is with reference to a digital camera, it will be understoodthat the present invention applies for use with any type of imagecapture device having an image sensor with color and panchromaticpixels.

The color filter array image sensor 20 shown in FIG. 1 typicallyincludes a two-dimensional array of light sensitive pixels fabricated ona silicon substrate that provide a way of converting incoming light ateach pixel into an electrical signal that is measured. As the colorfilter array image sensor 20 is exposed to light, free electrons aregenerated and captured within the electronic structure at each pixel.Capturing these free electrons for some period of time and thenmeasuring the number of electrons captured, or measuring the rate atwhich free electrons are generated can measure the light level at eachpixel. In the former case, accumulated charge is shifted out of thearray of pixels to a charge-to-voltage measurement circuit as in acharge coupled device (CCD), or the area close to each pixel can containelements of a charge-to-voltage measurement circuit as in an activepixel sensor (APS or CMOS sensor).

Whenever general reference is made to an image sensor in the followingdescription, it is understood to be representative of the color filterarray image sensor 20 from FIG. 1. It is further understood that allexamples and their equivalents of image sensor architectures and pixelpatterns of the present invention disclosed in this specification isused for color filter array image sensor 20.

In the context of an image sensor, a pixel (a contraction of “pictureelement”) refers to a discrete light sensing area and charge shifting orcharge measurement circuitry associated with the light sensing area. Inthe context of a digital color image, the term pixel commonly refers toa particular location in the image having associated color values.

FIG. 2 is a high level diagram of the preferred embodiment of thepresent invention representing a processor for carrying out the steps ofthe present invention. A color filter array image sensor 20 (FIG. 1)captures a color filter array image containing a panchromatic channel202 and color channels 204 corresponding to at least two color photoresponses. The color filter array can contain red, green, blue andpanchromatic pixels, although other channel combinations are possible,such as cyan, magenta, yellow and panchromatic. Of particular importanceis the inclusion of a panchromatic channel. The color filter array imageis captured in such a way that the panchromatic channel is exposed tolight for a different length of time than at least one of the colorchannels. The panchromatic channel will generally have a differentexposure time than each of the color channels, and the exposureintervals arranged such that they conclude concurrently.

A color filter array (CFA) interpolation block 206 produces aninterpolated panchromatic image 208 and an interpolated color image 210from a color filter array image captured by the digital camera (FIG. 1).The interpolated color image 210 is used to compute a syntheticpanchromatic image 212. In a preferred embodiment, the syntheticpanchromatic image 212 is calculated as a weighted linear combination ofthe red, green and blue color channels of the interpolated color image210. The weightings of the red, green and blue color channels of theinterpolated color image produced by block 210 are chosen such that thecomputed synthetic panchromatic image 212 is comparable to theinterpolated panchromatic image 208.

In the final step, the interpolated panchromatic image 208, theinterpolated color image 210 and the synthetic panchromatic image 212are used to generate an improved full-color output image 216 withreduced motion blur using a form improved image block 214.

The individual steps outlined in FIG. 2 will now be described in greaterdetail. Initially, a digital camera (see FIG. 1) captures a color filterarray image. FIG. 3 illustrates an example color filter array (CFA)pattern 301 for the preferred embodiment. In this example, approximatelyhalf of the pixels are panchromatic pixels 302, while the other half aresplit among red pixels 304, green pixels 306 and blue pixels 308.

The exposure time for the panchromatic pixels is shorter than theexposure time for the color pixels. This allows the panchromatic data tobe captured with a short exposure time thereby preventing excessivemotion blur, while also allowing color data to be captured withsufficient exposure to reduce color noise artifacts. The exposure timefor the panchromatic pixels and the color pixels can be controlledindependently by adjusting the amount of time that the charge isaccumulated for the different types of pixels.

Various pixel-binning schemes are possible during readout of the imagesensor, as noted in FIG. 4. In FIG. 4, two partial rows of an imagesensor are displayed, a first partial row of image sensor 401 and asecond partial row of image sensor 402. In this embodiment, theunderlying readout circuitry for a sensor array uses a floatingdiffusion 404 that is switchably connected to one or more surroundingpixels at a time. Implementation and use of the floating diffusion 404is well known to those skilled in the digital image acquisition art.FIG. 4 shows a conventional arrangement in which each floating diffusion404 serves four surrounding pixels, shown in one example as a pixelquartet 406.

Pixel signals can be switched to floating diffusion 404 in any of anumber of combinations. In a first readout combination 408, each pixelin quartet 406 has its charge transferred separately to floatingdiffusion 404 and thus is read individually. In a second readoutcombination 410, panchromatic pixels P are binned, that is, they sharefloating diffusion 404 by emptying their stored charge to floatingdiffusion 404 at the same time; similarly, both color (G) pixels in thequartet are binned, switching their signals at the same time to floatingdiffusion 404. In a third readout combination 412, panchromatic pixels Pare not binned, but are read separately; while the color pixels (G) arebinned.

In a preferred embodiment of the present invention, the panchromaticpixels for the panchromatic channel 202 (FIG. 2) are not binned, whilecolor pixels for the color channels 204 (FIG. 2) are binned 412,resulting in the readouts illustrated in FIG. 5. In FIG. 5, thepanchromatic pixels 502 occupy a checkerboard pattern, while the colorpixels 504 collectively form a low resolution Bayer pattern.

The CFA interpolation block 206 (FIG. 2) produces the interpolatedpanchromatic image 208 and the interpolated color image 210 using acolor filter array image containing a panchromatic channel 202 and colorchannels 204. Methods for performing CFA interpolation are well known inthe art. For example, the CFA interpolation method described in U.S.Patent Application Publication No. 2007/0024934, which is incorporatedherein by reference, can be used.

After CFA interpolation block 206 has produced the interpolated colorimage 210, the interpolated color image 210 is used to compute thesynthetic panchromatic image 212. A computationally simple calculationfor computing the synthetic panchromatic image 212 is given by L=R+2G+B,where L is the pixel value of the synthetic panchromatic image 212 andR, G, B are the pixel values for the red, green and blue color channels,respectively, of the interpolated color image 210 (FIG. 2). In apreferred embodiment, the spectral responses of the red, green, blue,and panchromatic pixels are measured, as illustrated in FIG. 6, and thesynthetic panchromatic image 212 is calculated as the weighted linearcombination of red, green and blue that gives a best fit with thepanchromatic curve.

Referring to the graph of FIG. 6, there are shown the relative spectralsensitivities of pixels with red, green, and blue color filters in atypical camera application. The X-axis in FIG. 6 represents lightwavelength in nanometers, spanning wavelengths approximately from thenear ultraviolet to the near infrared, and the Y-axis representsefficiency (normalized). In FIG. 6, a bandwidth filter curve 610represents the spectral transmission characteristic of a typicalbandwidth filter used to block infrared and ultraviolet light fromreaching the image sensor. Such a filter is needed because the colorfilters used for image sensors typically do not block infrared light,hence the pixels are unable to distinguish between infrared light andlight that is within the passbands of their associated color filters.The infrared blocking characteristic shown by the bandwidth filter curve610 thus prevents infrared light from corrupting the visible lightsignal. The spectral quantum efficiency, i.e. the proportion of incidentphotons that are captured and converted into a measurable electricalsignal, for a typical silicon sensor with red, green, and blue filtersapplied is multiplied by the spectral transmission characteristic of theinfrared blocking filter represented by bandwidth filter curve 610 toproduce the combined system quantum efficiencies represented by a redphotoresponse curve 614 for the red color channel, a green photoresponsecurve 616 for the green color channel, and a blue photoresponse curve618 for the blue color channel. It is understood from these curves thateach color photoresponse is sensitive to only a portion of the visiblespectrum. By contrast, the photoresponse of the same silicon sensor thatdoes not have color filters applied (but including the infrared blockingfilter characteristic) is shown by a panchromatic photoresponse curve612 for the panchromatic channel. By comparing the color photoresponsecurves 614, 616, and 618 to the panchromatic photoresponse curve 612, itis clear that the panchromatic photoresponse can be two to four timesmore sensitive to wide spectrum light than any of the colorphotoresponses.

In the form improved image block 214 (FIG. 2), the interpolatedpanchromatic image 208, the interpolated color image 210 and thesynthetic panchromatic image 212 are used to generate an improvedfull-color output image with reduced motion blur.

FIG. 7 is a more detailed view of the form improved image block 214 fromFIG. 2 according to a preferred embodiment of the present invention. Theluma-chroma generation step 701 uses the interpolated color image 210(FIG. 2) and the synthetic panchromatic image 212 (FIG. 2) and producesa luminance image 702 and a chrominance image 703. A luma-chromaadjustment step 704 uses the interpolated panchromatic image 208 (FIG.2) to modify the luminance image 702 and chrominance image 703 producedat step 702 to form a modified luminance image 705 and a modifiedchrominance image 706. A color image reconstruction step 707 uses themodified luminance image 705 and the modified chrominance image 706produced at step 704 to produce the improved full-color output image 216(FIG. 2) with reduced motion blur.

In FIG. 7, luma-chroma generation step 701 can be performed in anyappropriate way known to those skilled in the art. One way to estimatethe luminance and chrominance images according to a preferred embodimentof the present invention can be described using Eqs. (1)-(4) below:synthetic pan=αR+βG+γB  (1)L=synthetic pan  (2)Cr=R−L  (3)Cb=B−L  (4)where α, β and γ are the weights computed from the spectral responses ofthe red, green, blue, and panchromatic pixels, as illustrated in FIG. 6.R, G, and B are red, green, and blue color channel values, respectively,of the interpolated color image 210 (FIG. 2) and synthetic pan is thevalue of the synthetic panchromatic image 212 (FIG. 2). L is the pixelvalues of the luminance image 702 and Cr and Cb are color values of thechrominance image 703.

In FIG. 7, the luma-chroma adjustment step 704 can be performed in anyappropriate way known to those skilled in the art. One way to performluma-chroma adjustment step 704 according to a preferred embodiment ofthe present invention can be described using Eqs. (5)-(7) below:

$\begin{matrix}{L^{New} = {pan}} & (5) \\{{Cr}^{New} = {\frac{Cr}{L}L^{New}}} & (6) \\{{Cb}^{New} = {\frac{Cb}{L}L^{New}}} & (7)\end{matrix}$where pan is the pixel value of the interpolated panchromatic image 208(FIG. 2), L^(New) is the pixel value of the modified luminance image 705and Cr^(New) and Cb^(New) are the color values of the modifiedchrominance image 706.

In an alternate embodiment of the present invention, the chrominanceimage 703 can be used directly in the color image reconstruction step707. In this case Cr^(New)=Cr and Cb^(New)=Cb. This approach has theadvantage that the computations are faster, however, there would be anassociated compromise in the resulting image quality.

In FIG. 7, the color image reconstruction step 707 can be performed inany appropriate way known to those skilled in the art. One way toperform color image reconstruction step 707 according to a preferredembodiment of the present invention can be described using Eqs. (8)-(10)below:R ^(New) =Cr ^(New) +L ^(New)  (8)B ^(New) =Cb ^(New) +L ^(New)  (9)G ^(New)=(L ^(New) −αR ^(New) −γB ^(New))/β  (10)where R^(New), G^(New) and B^(New) are the red, green and blue colorchannel values, respectively, of the improved full-color output image216 (FIG. 2).

The algorithm for computing the improved full-color output image withreduced motion blur as disclosed in the preferred embodiment of thepresent invention can be employed in a variety of user contexts andenvironments. Exemplary contexts and environments include, withoutlimitation, wholesale digital photofinishing (which involves exemplaryprocess steps or stages such as digital images submitted for wholesalefulfillment, digital processing, prints out), retail digitalphotofinishing (digital images submitted for retail fulfillment, digitalprocessing, prints out), home printing (home digital images in, digitalprocessing, prints out), desktop software (software that appliesalgorithms to digital images to make them better—even just to changethem), digital fulfillment (digital images in—from media or over theweb, digital processing, digital images out—on media, digital form overthe internet), kiosks (digital images input, digital processing, printsor digital media out), mobile devices (e.g., PDA or cell phone that canbe used as a processing unit, a display unit, or a unit to giveprocessing instructions), and as a service offered via the World WideWeb.

In each case, the algorithm for computing the improved full-color outputimage with reduced motion blur can stand alone or can be a component ofa larger system solution. Furthermore, the interfaces with thealgorithm, e.g., the input, the digital processing, the display to auser (if needed), the input of user requests or processing instructions(if needed), the output, can each be on the same or different devicesand physical locations, and communication between the devices andlocations can be via public or private network connections, or mediabased communication. Where consistent with the foregoing disclosure ofthe present invention, the algorithms themselves can be fully automatic,can have user input (be fully or partially manual), can have user oroperator review to accept/reject the result, or can be assisted bymetadata (metadata that can be user supplied, supplied by a measuringdevice, e.g. in a camera, or determined by an algorithm). Moreover, thealgorithms can interface with a variety of workflow user interfaceschemes.

The computation of improved full-color output image with reduced motionblur algorithm disclosed herein in accordance with the invention canhave interior components that utilize various data detection andreduction techniques (e.g., face detection, eye detection, skindetection, flash detection).

The invention has been described in detail with particular reference tocertain preferred embodiments thereof but it will be understood thatvariations and modifications can be effected within the spirit and scopeof the invention.

PARTS LIST 10 light from subject scene 11 imaging stage 12 lens 13neutral density (ND) filter block 14 iris block 16 brightness sensorblock 18 shutter 20 color filter array image sensor 22 analog signalprocessor 24 analog-to-digital (A/D) converter 26 timing generator 28image sensor stage 30 bus 32 digital signal processor (DSP) memory 36digital signal processor (DSP) 38 processing stage 40 exposurecontroller 50 system controller 52 system controller bus 54 programmemory 56 system memory 57 host interface 60 memory card interface 62memory card socket 64 memory card 68 user interface 70 viewfinderdisplay 72 exposure display 74 user inputs 76 status display 80 videoencoder 82 display controller 88 image display 202 Panchromatic channel204 Color channels 206 color filter array (CFA) interpolation block 208Interpolated panchromatic image 210 Interpolated color image 212Synthetic panchromatic image 214 Form improved image block 216 Improvedfull-color output image 301 Color filter array (CFA) pattern 302Panchromatic pixel 304 Red pixel 306 Green pixel 308 Blue pixel 401First partial row of image sensor 402 Second partial row of image sensor404 Floating diffusion 406 Pixel quartet 408 First readout combination410 Second readout combination 412 Third readout combination 502Panchromatic pixels 504 Color pixels 610 Bandwidth filter curve 612Panchromatic photoresponse curve 614 Red photoresponse curve 616 Greenphotoresponse curve 618 Blue photoresponse curve 701 Luma-chromageneration step 702 Luminance image 703 Chrominance image 704Luma-chroma adjustment step 705 Modified luminance image 706 Modifiedchrominance image 707 Color image reconstruction step

1. A method of forming a full-color output image using a color filterarray image having a plurality of color channels and a panchromaticchannel, comprising one or more processors for providing the following:a) capturing the color filter array image using a color filter arrayimage sensor, the color filter array image having the plurality of colorchannels and the panchromatic channel, wherein the panchromatic channelis captured using a different exposure time than at least one of theplurality of color channels of the color filter array image; b)computing an interpolated color image and an interpolated panchromaticimage from the color filter array image; c) computing a chrominanceimage from the interpolated color image, wherein computing thechrominance image includes computing a synthetic panchromatic image fromthe interpolated color image, and modifying the chrominance image as afunction of the synthetic panchromatic image and the interpolatedpanchromatic image; and d) forming the full-color output image using theinterpolated panchromatic image and the chrominance image.
 2. The methodof claim 1 wherein the interpolated color image having a plurality ofcolor channels, the plurality of color channels of the interpolatedcolor image are red, green and blue.
 3. The method of claim 1 whereinthe interpolated color image having a plurality of color channels, theplurality of color channels of the interpolated color image are cyan,magenta and yellow.
 4. The method of claim 1 wherein the syntheticpanchromatic image is computed by performing a weighted summation of aplurality of color channels of the interpolated color image.
 5. Themethod of claim 4 wherein the weights used in the weighted summation aredetermined from spectral responses of the color channels and thepanchromatic channel.
 6. The method of claim 1 wherein the chrominanceimage is modified using a ratio of the interpolated panchromatic imageand the synthetic panchromatic image.
 7. The method of claim 6 whereinthe chrominance image is modified by multiplying the chrominance imageby the ratio of the interpolated panchromatic image and the syntheticpanchromatic image.
 8. The method of claim wherein red green and bluecolor channels for the full-color output image are determined byperforming a weighted summation of the interpolated panchromatic imageand color channels of the chrominance image.
 9. The method of claim 1wherein the full-color output image is formed by combining theinterpolated panchromatic image and the chrominance image.
 10. Themethod of claim 1 wherein the full-color output image has a reducedlevel of motion blur relative to the interpolated color image.